Live online seminar · Legacy Analysis & Modernisation
Use AI to understand and safely modernise existing software
In plain language Understand established software and knowledge faster with AI
Understand established software, expose risk and improve it incrementally.
You systematically explore code, documents, data models and interfaces and build a reliable picture for safe change.
Technical terms you will learnLegacy analysis, SQL, PL/SQL, PHP, JavaScript, JSON, SQL*Plus, Bash, debugging, regression testing, modernisation
Duration3 days
FormatLive online seminar
Price2,150.00 €2,558.50 € incl. 19% VAT
Reliably planned
What is included with this seminar
Current market-standard content is included as a matter of course. CTPM+ makes the transfer to your IT, data and process practice visible.
Your learning pathEvery seminar works as a standalone offer. The highlighted stage shows its position; advanced learning can follow as needed.
- 01EntryBuild sound foundations
- 02ApplicationApply methods in practice
- 03SpecialisationDeepen roles and systems
- 04Transfer & coachingImplement a concrete result
Delivery
Choose the right format
Compare delivery, duration, price and configuration. In-person and in-house formats are aligned with your group, location and assignment.
Live online seminar
Request & confirmationLive online seminar · 3 days
Three technical working days covering current-state analysis, troubleshooting, regression and modernisation planning.
- Duration
- 3 days
- Level
- Professional
- Location
- Online
Further live dates and individual time slots are available on request.
CTPM+ is included in the seminar price.
Ask about availabilityOpen in-person seminar
Request & confirmationIn-person seminar · tailored
Content, examples, duration and transfer are tailored to the audience and assignment.
- Duration
- By arrangement
- Level
- Professional
- Location
- Academy venue
Duration, scope and price are proposed after professional scoping.
Ask about availabilityIn-house training
Request & confirmationIn-house training · client-specific
Content, examples, systems and priorities are prepared with the client.
- Duration
- By arrangement
- Level
- Professional
- Location
- At the client site
Duration, scope and price are proposed after professional scoping.
Ask about availabilityLearning content
What you will work on in this seminar
The modules make scope, priorities and intentional boundaries transparent.
Planned learning scope: 3 days. The offered format covers 3 days, including breaks, questions and transfer phases.
Everything considered market standard today is naturally included.CTPM+ describes what makes our seminar additionally valuable.
Distinguish market standard and CTPM+Show or hide each value class separately.
From understanding to your own result
Select a learning module to see its content and practical value explained clearly.
Market standard
CTPM+
UnderstandTerms and relationships
ApplyPractise methods
TransferRelate to role and workflow
ResultTake away a concrete result
Legacy analysis & knowledge retention
Capture functions, data, interfaces, dependencies, documentation and implicit knowledge in an established solution. Risks and unknown areas become visible so modernisation can proceed incrementally without uncontrolled changes to current behaviour.
Suggested seminar agendaBuilt from this delivery’s learning modules
- Legacy analysis & knowledge retention180 minutes
- AI-assisted implementation across technology stacks180 minutes
- Software architecture & modernisation100 minutes
- Databases, interfaces, ETL & enterprise software100 minutes
- Technical error analysis and debugging130 minutes
- Testing, regression and release gates120 minutes
- Deployment, operations and maintenance100 minutes
- Technical documentation and handover90 minutes
- CTPM+: system context, dependencies and side effects100 minutes
- CTPM+: controlled human-in-the-loop workflow80 minutes
- CTPM+: Academy case – from requirement to verified patch60 minutes
- Concrete transfer result60 minutes
The sequence may be adapted to the group, prior knowledge and questions; the stated learning outcomes remain binding.
Compare 38 additional modulesThese topics are intentionally not included in this seminar and are shown only for comparison.
Market standardNot included
Current models, tools & applications
Content and learning objective+
Distinguish language models, AI services, copilots and specialised tools by task, data access and degree of integration. Criteria such as output quality, data protection, cost, currency and integration into existing workplaces make selection transparent.
Market standardNot included
Capabilities, limits & common failure modes
Content and learning objective+
Learn which tasks generative AI can support reliably and where probabilistic output, hallucinations, bias, context limits or outdated knowledge create risk. Common failure modes are recognised, assessed and connected to appropriate checks.
Market standardNot included
Systematic prompting
Content and learning objective+
Translate unclear work requests into structured prompts containing context, task, inputs, objective, quality criteria and output format. This makes requirements transparent, results easier to compare and follow-up questions more focused.
Market standardNot included
Improve & reuse prompts
Content and learning objective+
Improve prompts in controlled steps, compare variants and distinguish professional weaknesses from wording or context problems. Proven patterns are versioned, documented and made reusable for similar tasks.
Market standardNot included
Review & optimise results
Content and learning objective+
Review AI output for professional accuracy, completeness, contradictions, source grounding and fitness for purpose. Checklists, challenge questions and human approval points help correct weak results deliberately.
Market standardNot included
Text, documents, research & knowledge work
Content and learning objective+
Work on common tasks such as drafting, summarising, comparing, extracting, classifying and preliminary research. Clarify required inputs, result validation and where AI usefully supports the existing workflow.
Market standardNot included
Confidential information & organisational data
Content and learning objective+
Classify personal, confidential and business-critical information and decide what data an AI service may process. Anonymisation, permissions, provider settings, internal rules and safer alternatives are assessed through practical situations.
Market standardNot included
Practical examples & exercises
Content and learning objective+
Apply the methods to transparent tasks, compare alternative approaches and reflect on the impact of your decisions. Exercises combine explanation, hands-on work, feedback and a transferable improvement.
Market standardNot included
Course materials & job aids
Content and learning objective+
Receive and use checklists, structures, examples and concise references that remain useful after the seminar. Materials are not merely distributed; they are explained and related to common application situations.
CTPM+Not included
Workflows & process chains
Content and learning objective+
Map a real workflow with triggers, inputs, roles, decisions, handovers and outputs. Assess where AI can help, which controls are required and how a reliable pilot fits into the process chain.
CTPM+Not included
Use documents & knowledge systematically
Content and learning objective+
Discover existing text, documents and knowledge through source structure, metadata, terminology and suitable search or retrieval approaches. Quality, currency, permissions and the limits of a RAG or knowledge solution are made explicit.
CTPM+Not included
Quality & control points
Content and learning objective+
Define measurable expectations, validation rules and approval points for inputs, processing and outputs. Sampling, logging, escalation and human accountability create controlled use instead of blind trust.
CTPM+Not included
Enterprise IT & project cases
Content and learning objective+
Work on realistic cases from requirements engineering, business analysis, project management, development, architecture, quality and testing. Roles, system dependencies, trade-offs and technical constraints are explicitly included.
CTPM+Not included
Reusable prompt, analysis & workflow templates
Content and learning objective+
Develop prompt structures, analysis templates and workflow patterns that can be reused with clear inputs, checks and ownership. Versioning and adaptation prevent templates from becoming uncontrolled one-off solutions.
CTPM+Not included
Adaptation to audience, knowledge & assignment
Content and learning objective+
Before an in-house session, audience, knowledge level, systems, assignment and desired outcomes are aligned. Examples, depth, exercises and transfer tasks are adapted to the actual organisational context.
CTPM+Not included
Collaboration with sector experts
Content and learning objective+
For regulated, safety-critical or highly specialised content, the roles and responsibilities of a dual-instructor team are defined. CTPM covers AI, IT, data, architecture and methodology; the sector expert adds processes, terminology and binding requirements.
Market standardNot included
Requirements engineering & business analysis
Content and learning objective+
Structure stakeholders, objectives, system boundaries and requirements using suitable elicitation, modelling and documentation techniques. Quality criteria, acceptance conditions, reviews and traceability connect business and delivery.
Market standardNot included
Data modelling, SQL & databases
Content and learning objective+
Transform business concepts and rules into conceptual, logical and relational data models. Keys, relationships, normalisation, integrity, SQL queries and performance are treated as connected design decisions.
Market standardNot included
ETL, interfaces & data integration
Content and learning objective+
Design the path from source to target systems with mappings, transformations, loading approaches and quality rules. Delta logic, error handling, restart, monitoring, metadata and lineage are considered from the start.
Market standardNot included
Understand relational databases
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Market standardNot included
Select, filter and sort data
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Market standardNot included
Aggregate and group data
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Market standardNot included
Join tables safely
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Market standardNot included
Classify data changes safely
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Market standardNot included
Distinguish standard SQL, Oracle, MySQL and MariaDB
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
CTPM+Not included
Translate business questions into SQL
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
CTPM+Not included
Validate results technically and functionally
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Market standardNot included
Oracle SQL & PL/SQL
Content and learning objective+
Work with Oracle-specific SQL and PL/SQL from data access and transactions to procedures, functions and packages. Exception handling, performance, testing, interfaces and maintainability are connected through realistic database tasks.
Market standardNot included
Clarify role, assignment and mandate
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Market standardNot included
Understand stakeholders and interests
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Market standardNot included
Communicate clearly at eye level
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Market standardNot included
Prepare and represent decisions
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Market standardNot included
Address resistance and conflict early
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Market standardNot included
Create commitment without hierarchy
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
CTPM+Not included
Use briefing and debriefing effectively
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
CTPM+Not included
Lead under uncertainty and secure transfer
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Market standardNot included
End-to-end traceability from requirements to release
Content and learning objective+
Source, requirement, design, change, test, approval and release are linked so decisions and effects remain explainable.
CTPM+Not included
CTPM+: Oracle code, error analysis, reporting and documentation
Content and learning objective+
Oracle SQL and PL/SQL context, data models, transactions, packages, failure modes, test data, reporting and documentation are treated together rather than in isolation.
The complete professional standard
Fundamentals, current tools, prompting, exercises, output review, privacy, security and responsible use are taught clearly and practically.
More transfer through senior practice
CTPM+ connects learning to roles, documents, knowledge, processes, data, interfaces, architecture and a realistic next implementation step.
An academy that enables learning
We do not merely repeat terminology. We make it usable.
More than 25 years of adult education and thousands of participants in IT and Oracle topics shape our approach: explain clearly, practise together, review critically and transfer safely.
Understand
We connect new terminology immediately with plain language and a familiar problem.
Practise
You apply the method yourself using a clear example and can ask questions at any time.
Review
We compare results, identify errors and develop understandable quality criteria.
Transfer
You leave with a template, decision aid or a concrete next step for your work.
Two learning samples from this seminar
Technical terms become clear step by step
Open an example to see how we connect terminology with meaning, application and review.
Practice evidence / case studyCTPM Academy: from requirement to verified patch
Anonymised extracts show Stefan Müller setting goals, system context, quality criteria and approval as the accountable professional. AI supports analysis, design, code, testing and documentation. A plausible solution becomes usable only after review of the existing system, side-effect analysis, testing and human approval. This case study is documented practice evidence, not a customer reference or an OpenAI endorsement.
Legacy analysisHow established systems become understandable
Code, data model, interfaces, runtime behaviour and documentation are analysed together to build reliable understanding before change.
For seminars with practical transfer
Example transfer result
A prioritised analysis and modernisation plan covering code, data, interfaces, failure modes, regression, operations and missing documentation.
The actual result is adapted to the participants’ task, role and permitted data during the seminar.What you will gain
Structure an AI-supported current-state analysis.
Analyse code, data models, scripts, interfaces, logs and documentation.
Distinguish evidence, hypothesis and unsupported AI statements.
Plan tests and regression checks before change.
Develop a prioritised incremental modernisation and documentation path.
Analyse code, data models, scripts, interfaces, logs and documentation.
Distinguish evidence, hypothesis and unsupported AI statements.
Plan tests and regression checks before change.
Develop a prioritised incremental modernisation and documentation path.
What this live online seminar covers
This three-day seminar shows how AI can support the analysis and modernisation of established IT systems. Code, database objects, SQL and PL/SQL components, PHP, JSON, HTML/CSS, JavaScript, SQL*Plus and Bash scripts, interfaces, logs and existing documentation are considered in system context rather than isolation. Participants learn to detect missing context, test hypotheses, protect against side effects, build regression tests and prioritise modernisation steps transparently.Participants
Developers, database developers, architects, testers, technical analysts, maintenance and operations teams, and leaders of modernisation and migration initiatives.
Included
Three-day technical workshop, analysis canvas, code and database examples, troubleshooting and regression techniques, modernisation plan, materials, certificate of attendance and CTPM+ transfer.
Prerequisites
Experience with existing software or database systems; source-code or database knowledge is useful for the technical exercises.
Not included
No complete analysis or modernisation of a client production system and no production changes without a separate engagement.